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28,296 Article Results

Significant Effect of Vital Rule of Simulators in Wireless Sensor Networks

10.11591/ijeecs.v4.i2.pp424-428
Muhammad Toufique , Hongbo Jiang
It is the requirement of the time, to simulate/emulate for analyzing the system. Therefore we must need some tools for this specific task. This paper is for encompassing the available tools for analyzing and evaluation purpose. Paper having all these exclusive information with detail are not available. We show ATEMU, Avrora, EmStar, J-Sim, NS-2, OMNeT++ and TOSSIM. We try to analyze the tools thoroughly. We define and discusss about the operation, functionality, advantages, disadvantages and constraints. These are the main stream superb simulation tools based on state of the art techniques. We explore on the basis of popularity, accessibility (open source), complexity, accuracy, scalability, extensibility and availability of various problems in homogenous and heterogenous WSN and other networks on different platforms and with or without using different scripting languages.
Volume: 4
Issue: 2
Page: 424-428
Publish at: 2016-11-01

Random Sampling and Signal Bregman Reconstruction Based on Compressed Sensing

10.11591/ijeecs.v4.i2.pp365-372
Guojun Qin , Jingfang Wang
Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure and content of the information in the signal. In this paper, the signal is the sparse in the Fourier transform and random sparse sampling is advanced by programing random observation matrix for peak random base. The signal is successfully restored by the use of Bregman algorithm. The signal is described in the transform space, and a theoretical framework is established with a new signal descriptions and processing. By making the case to ensure that the information loss, signal is sampled at much lower than the Nyquist sampling theorem requiring rate,but also the signal is completely restored in high probability. The random sampling has following advantages: alias-free sampling frequency need not obey the Nyquist limit and higher frequency resolution.
Volume: 4
Issue: 2
Page: 365-372
Publish at: 2016-11-01

Adaptive-Fuzzy back stepping control of cable robot vessels

10.11591/ijeecs.v4.i2.pp354-364
Mohammadreza Barzegaran , Sana Tajvidi , Majid Alimohammadi
Importance of sea in development, promotion and safety of the related countries make access to data and recognizing the environment become very important. Surface vessels help access to sea easier regarding technological advancement. Controlling surface vessels is considered as an active field of research regarding offshore, military and research uses. The main problem of controlling surface vessels is that these vehicles are often underactuated. Underatuation means that the system has lower number of independent actuators than degrees of freedom. In this study, designing an output feedback controller in the presence of parametric and non-parametric uncertainties independent of speed signal measurement and regarding actuators dynamic for path tracking of underactuated surface vessels, was studied. In designing controller, dynamic surface control method is used in order to reduce complexity of back stepping control.
Volume: 4
Issue: 2
Page: 354-364
Publish at: 2016-11-01

Music Recommendation System Based on Context Using Case-Based Reasoning and Self Organizing Map

10.11591/ijeecs.v4.i2.pp459-464
Gst Ayu Vida Mastrika Giri , Agus Harjoko
Effective music recommendation can decrease listener’s effort in choosing music that will be listened. Music recommendation is not only can be obtained based on genre or audio similarity, because listener’s music choices are also influenced by the listener’s context (mood, occasion, part of day, date, weather, region, month, and weekday). This research used Case-Based Reasoning (CBR) for determining music recommendation based on listener’s context data and also Self Organizing Map (SOM) which is used as an indexing method in CBR. Inputs given by user to the system are user’s occasion and mood desired by user. The system output is a playlist consists of music that suitable with user’s context and desired mood.
Volume: 4
Issue: 2
Page: 459-464
Publish at: 2016-11-01

Electrical Potential Distribution in Polymethyl Methacrylate-Graphene Oxide Nanocomposites

10.11591/ijeecs.v4.i2.pp256-262
Zainuddin Nawawi , R. F. Kurnia , N. F. A. Isa , Z. Buntat , D. R. Yuniarti , M. I. Jambak , Muhammad Abu Bakar Sidik
Research work of polymer nanocomposites in high voltage insulator becomes interest nowadays. Polymer based and nanofillers are the core components in polymer nanocomposites. By adding such a big amount of nanofiller it would enhance the electrical and mechanical properties of polymers.  However as for today, a little percentage of nanofiller concentration could dramatically enhanced the properties of the polymeric material. Recent research of graphene oxide (GO) nanofiller has brought to this project interest.  This paper presents several methods that have been published to development PMMA (poly methyl methacrylate)/GO nanocomposites and a simulation of PMMA/GO in order to investigate the potential distribution. 
Volume: 4
Issue: 2
Page: 256-262
Publish at: 2016-11-01

Design the Balance of System of Photovoltaic for Low Load Application

10.11591/ijeecs.v4.i2.pp279-285
Y.M. Irwan , Z. Syafiqah , A.R. Amelia , M. Irwanto , W.Z. Leow , S. Ibrahim
This paper presents an alternative method to reduce the monthly electricity bill at Centre of Excellence for Renewable Energy (CERE) which is by installing a stand-alone photovoltaic (PV) system. In the stand-alone PV system, apart from the PV module and loads, other components in the system such as battery, charge controller, inverter and protection device are categorized under Balance of System (BOS) component. In order for the loads to receive adequate energy to operate, the overall system must be sized through calculations due to find the optimum combination. This sizing will determine the amount of each component that needed in the system. The hardware is setup in front of CERE building which located at Kangar, Perlis, Malaysia. As the results from the calculation, the system required 6 units of PV module, 5 units of battery and a 0.23 kW inverter. The cable and protection devices are from the calculation. The entire system was successfully installed and was able to support the load demand.
Volume: 4
Issue: 2
Page: 279-285
Publish at: 2016-11-01

Prediction Of College Student Achievement Based on Educational Background Using Decision Tree Methods

10.11591/ijeecs.v4.i2.pp429-438
Ratih Kumalasari Niswatin , Resty Wulanningrum
College student as a product can be used as a reference to show the success of education. This research will build a system prediction of college student achievement based on educational background using decision tree method.The research will be conducted on students of Informatics Engineering Department, Faculty of Engineering, University of Nusantara PGRI Kediri. The objective of this system is to help the new admissions process in the selection of students is based on the predicted results of student achievement and help the department to classify new students based on educational background. The method used to predict student achievement is the algorithm C4.5 decision tree method using several criteria based on the educational background of students before, they arethe uan mathematical value, the uan Indonesianvalue, theuan English value, the majors in the school, and the average report cards in the school of origin. This system will be made based on the web to be more effective, fast and easy to use. This system will produce predictions of student achievement information on Informatics Engineering
Volume: 4
Issue: 2
Page: 429-438
Publish at: 2016-11-01

Generic and Robust Method for Head Pose Estimation

10.11591/ijeecs.v4.i2.pp439-446
Abdellatif Hajraoui , Mohamed Sabri
Head pose estimation has fascinated the research community due to its application in facial motion capture, human-computer interaction and video conferencing. It is a pre-requisite to gaze tracking, face recognition, and facial expression analysis. In this paper, we present a generic and robust method for model-based global 2D head pose estimation from single RGB Image. In our approach we use of the one part the Gabor filters to conceive a robust pose descriptor to illumination and facial expression variations, and that target the pose information. Moreover, we ensure the classification of these descriptors using a SVM classifier. The approach has proved effective view the rate for the correct pose estimations that we got.
Volume: 4
Issue: 2
Page: 439-446
Publish at: 2016-11-01

Analysis and Design of High Performance Phase Frequency Detector, Charge Pump and Loop Filter Circuits for Phase Locked Loop in Wireless Applications

10.11591/ijeecs.v4.i2.pp397-405
P.N. Metange , K. B. Khanchandani
This paper presents the analysis and design of high performance phase frequency detector, charge pump and loop filter circuits for phase locked loop in wireless applications. The proposed phase frequency detector (PFD) consumes only 8 µW and utilises small area. Also, at 1.8V voltage supply the maximum operation frequency of the conventional PFD is 500 MHz whereas proposed PFD is 5 GHz. Hence, highly suitable for low power, high speed and low jitter applications.  The differential charge pump uses switches using NMOS and the inverter delays for up and down signals do not generate any offset due to its fully symmetric operation. This configuration doubles the range of output voltage compliance compared to single ended charge pump. Differential stage is less sensitive to the leakage current since leakage current behaves as common mode offset with the dual output stages. All the circuits are implemented using cadence 0.18 μm CMOS Process.
Volume: 4
Issue: 2
Page: 397-405
Publish at: 2016-11-01

Architecture of ASIP Crypto-Processor for Dynamic Runtime Security Applications

10.11591/ijeecs.v4.i2.pp412-423
Mahaba Saad , Khalid Youssef , Mohamed Tarek , Hala Abdel-Kader
Nowadays, demands of data security are increasing, especially after introduction of wireless communications to the masses. Cryptographic algorithms are mainly used to obtain confidentiality and integrity of data in communication. There are a variety of encryption algorithms have been developed. This paper provides quantitative analysis and comparison of some symmetric key cryptographic ciphers (DES, 3DES, AES, Blowfish, RC5, and RC6).  The quantitative analysis approach is a step towards optimizing the security operations for an efficient next generation family of network processors with enhanced speed and power performance. A framework will be proposed as a reference model for quantitative analysis of security algorithm mathematical and logical operations. This paper also provides a dynamic crypto processor used for selected symmetric key cryptographic ciphers   and  provides an implementation of 16bit cryptographic processor that performs logical operations and arithmetic operations like rotate shift left, modular addition 2^16, S_box operation, and key expansion operation  on spartan6 lower power, xc6slx150L-1lfgg676 FPGA. Simulation results show that developed processor working with high Speed, low power, and low delay time. 
Volume: 4
Issue: 2
Page: 412-423
Publish at: 2016-11-01

A Power Sharing Method for Parallel Inverters with Virtual Synchronous Generator Control Strategy

10.11591/ijeecs.v4.i2.pp317-324
Sara Yahia Altahir Mohamed , Xiangwu Yan
A new power sharing method of a virtual sychronous generator control based inverters is introduced in this paper. Since virtual synchronous generator has virtual inertia and damping properties, it significantly enhances the grid stability. However, its output power considerably affects by the line impedance. Thus, in this paper, the relation between the droop control and the line impedance is analyzed at first. Then, by appling an improved droop control strategy to an inverter based on the virtual sychronous generator control, achieving proportional active and reactive power sharing unaffected by the line impedance is realized. The result shows that a smooth response is achieved. As well as, the voltage drop caused by the line impedance is totally compensated. As a result, the system stability is furtherly improved. At last, the effectiveness of the proposed method is verified through MATLAB/Simulink.
Volume: 4
Issue: 2
Page: 317-324
Publish at: 2016-11-01

Determination of Unknown Parameters of Photovoltaic Module Using Genetic Algorithm

10.11591/ijeecs.v4.i2.pp271-278
I. M. Abdelqawee , Ayman Y. Yousef , Khaled M. Hasaneen , H. G. Hamed , Maged N. F. Nashed
 In this paper, the unknown parameters of the photovoltaic (PV) module are determined using Genetic Algorithm (GA) method. This algorithm based on minimizing the absolute difference between the maximum power obtained from module datasheet and the maximum power obtained from the mathematical model of the PV module, at different operating conditions. This method does not need to initial values, so these parameters of the PV module are easily obtained with high accuracy. To validate the proposed method, the results obtained from it are compared with the experimental results obtained from the PV module datasheet for different operating conditions. The results obtained from the proposed model are found to be very close compared to the results given in the datasheet of the PV module.
Volume: 4
Issue: 2
Page: 271-278
Publish at: 2016-11-01

Video Transmission using Combined Scalability Video Coding over MIMO-OFDM Systems

10.11591/ijeecs.v4.i2.pp390-396
Kalvein Rantelobo , Hendro Lami , Wirawan Wirawan
The needs of efficient bandwidth utilization and method to handle bandwidth fluctuation condition of wireless channel have become fundamental problems in video transmission. This research proposed Combined Scalable Video Coding (CSVC) that refers to Joint Scalable Video Model (JSVM), i.e. development of video coding H.264/AVC by exploiting scalable combination method using Medium Grain Scalability (MGS) on wireless channel of MIMO-OFDM (Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) technology. The research shows that the scalable combination method can be implemented on the scenario for wireless transmission on multicast network. Experimental results show that the delivered quality is close to the alternative traditional simulcast delivery mechanism in MIMO-OFDM systems.
Volume: 4
Issue: 2
Page: 390-396
Publish at: 2016-11-01

FPGA Implementation of BCG Signal Filtering Scheme by Using Weight Update Process

10.11591/ijeecs.v4.i2.pp373-382
Manjula B.M , Chirag Sharma
A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 200 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article
Volume: 4
Issue: 2
Page: 373-382
Publish at: 2016-11-01

A Study on Digital Forensics in Hadoop

10.11591/ijeecs.v4.i2.pp473-478
Sachin Arun Thanekar , K. Subrahmanyam , A.B. Bagwan
Nowadays we all are surrounded by Big data. The term ‘Big Data’ itself indicates huge volume, high velocity, variety and veracity i.e. uncertainty of data which gave rise to new difficulties and challenges. Hadoop is a framework which can be used for tremendous data storage and faster processing. It is freely available, easy to use and implement. Big data forensic is one of the challenges of big data. For this it is very important to know the internal details of the Hadoop. Different files are generated by Hadoop during its process. Same can be used for forensics. In our paper our focus is on digital forensics and different files generated during different processes. We have given the short description on different files generated in Hadoop. With the help of an open source tool ‘Autopsy’ we demonstrated that how we can perform digital forensics using automated tool and thus big data forensics can be done efficiently.
Volume: 4
Issue: 2
Page: 473-478
Publish at: 2016-11-01
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